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Russel Metals Inc (RUS) Fair Value & Analysis

Industrials · CA · Market cap C$3.4B

PriceC$61.79
Fair ValueC$50.50
Upside-18.3%
Quality95/100
Evidence: High Range C$29.18 – C$77.75

Analysis

Russel Metals Inc (RUS) currently trades at C$61.79, while our model-based Fair Value estimate is C$50.50 — implying the stock looks roughly 18.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Russel Metals Inc. engages in the distribution of steel and other metal products in Canada and the United States. The company operates through Metals Service Centers, Energy Field Stores, and Steel Distribution segments. The Metal Service Centers segment operates a network of metals service centers, which provide metal products in various sizes, shapes, and specifications, including carbon hot rolled and cold finished steel, pipe and tubular, stainless steel, aluminum, and other non-ferrous specialty metal products. The Energy Field Stores segment offers specialized products, such as flanges, valves, fittings, and other products to energy industry. The Steel Distributors segment sells steel products comprising carbon steel plate, flat rolled products, beams, channels, and pipes to other steel service centers and equipment manufacturers. Russel Metals Inc. was incorporated in 1929 and is headquartered in Mississauga, Canada.

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How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.